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U.S. crude oil production expected to hit four-decade high during 2015 U.S. crude oil production expected to hit four-decade high during 2015 U.S. crude oil production over the next two years is expected to grow to its highest level since the early 1970s. Oil output increased by 1 millionbarrels per day in 2013...and is expected to repeat that growth rate during 2014....according to the new forecast from the U.S. Energy Information Administration. U.S. crude oil production is forecast to average 8.5 millionbarrels per day this year and then rise to 9.3 millionbarrels per day in 2015. That would be the highest yearly oil output since 1972, and just 300,000 barrels per day below the all-time production high of 9.6 millionbarrels per day set in 1970. Most of the oil production growth will come from increased drilling in the shale formations in

Sale of 11 MillionBarrels of Crude Oil Sale of 11 MillionBarrels of Crude Oil from the Nation's Strategic Petroleum Reserve Secretary Bodman Announces Sale of 11 MillionBarrels of Crude Oil from the Nation's Strategic Petroleum Reserve September 14, 2005 - 10:21am Addthis WASHINGTON, DC - Secretary Samuel W. Bodman announced that the Department of Energy has approved bids for the sale of 11 millionbarrels of crude oil from the Strategic Petroleum Reserve (SPR). Combined with the 12.6 millionbarrels of crude previously approved for loans these SPR releases, in response to the disruptions caused by Hurricane Katrina, will provide 23.6 millionbarrels of crude for the U.S. market. "The United States is committed to using all of the tools at our disposal to help keep our oil and gasoline markets well supplied," Secretary Bodman

in millionbarrels of oil equivalent (MMBOE): Water depth Minimum royalty sus- pension volume (MMBOE) (1) 200 of paragraph (b) are revised to read as follows: Â§ 260.124 How will royalty suspension apply if MMS assigns establish a royalty suspension volume for a field as a result of an approved application for royalty relief

Of the estimated 5 millionbarrels of crude oil released into the Gulf of Mexico from the Deepwater Horizon oil spill, a fraction washed ashore onto sandy beaches from Louisiana to the Florida panhandle. Researchers at the MagLab compare the detailed molecular analysis of hydrocarbons in oiled sands from

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Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 millionbarrels per day in 2002 to 103 millionbarrels per day in 2015 and to just over 119 millionbarrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 millionbarrels per day relative to the 2002 crude oil production capacity of 80.0 millionbarrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

oil and gas operations in the Gulf of Mexico. Validation of wave forecast for significant wave heights of Mexico. Before the storm, it produced 148,000 barrels of oil equivalent per day and 160 million cubic over the warm Gulf of Mexico water between 26 and 28 August, and became a category 5 hurricane by 1200

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

We present a new Monte-Carlo methodology to forecast the crude oil production of Norway and the U.K. based on a two-step process, (i) the nonlinear extrapolation of the current/past performances of individual oil fields and (ii) a stochastic model of the frequency of future oil field discoveries. Compared with the standard methodology that tends to underestimate remaining oil reserves, our method gives a better description of future oil production, as validated by our back-tests starting in 2008. Specifically, we predict remaining reserves extractable until 2030 to be 188 +/- 10 millionbarrels for Norway and 98 +/- 10 millionbarrels for the UK, which are respectively 45% and 66% above the predictions using the standard methodology.

Neocortex, the neuronal structure at the base of the remarkable cognitive skills of mammals, is a layered sheet of neuronal tissue composed of juxtaposed and interconnected columns. A cortical column is considered the basic module of cortical processing present in all cortical areas. It is believed to contain a characteristic microcircuit composed of a few thousand neurons. The high degree of cortical segmentation into vertical columns and horizontal layers is a boon for scientific investigation because it eases the systematic dissection and functional analysis of intrinsic as well as extrinsic connections of the column. In this review we will argue that in order to understand neocortical function one needs to combine a microscopic view, elucidating the workings of the local columnar microcircuits, with a macroscopic view, which keeps track of the linkage of distant cortical modules in different behavioral contexts. We will exemplify this strategy using the model system of vibrissal touch in mice and rats. On the macroscopic level vibrissal touch is an important sense for the subterranean rodents and has been honed by evolution to serve an array of distinct behaviors. Importantly, the vibrissae are moved actively to touch – requiring intricate sensorimotor interactions. Vibrissal touch, therefore, offers ample opportunities to relate different behavioral contexts to specific interactions of distant columns. On the microscopic level, the cortical modules in primary somatosensory cortex process touch inputs at highest magnification and discreteness – each whisker is represented by its own so-called barrel column. The cellular composition, intrinsic connectivity and functional aspects of the barrel column have been studied in great detail. Building on the versatility of genetic tools available in rodents, new, highly selective and flexible cellular and molecular tools to monitor and manipulate neuronal activity have been devised. Researchers have started to combine these with advanced and highly precise behavioral methods, on par with the precision known from monkey preparations. Therefore, the vibrissal touch model system is exquisitely positioned to combine the microscopic with the macroscopic view and promises to be instrumental in our understanding of neocortical function.

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

... THIS research on the vibration of gun-barrels is a continuation of former investigations on the nature of ... of gun-barrels is a continuation of former investigations on the nature of vibrations set up in a gun-barrel when fixed, with a view to discover how ...

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The Crystal Barrel experiment has been constructed and installed at the Low Energy Antiproton Ring (LEAR) at CERN. It has been fully operational since late 1989. In this talk, recent results of meson spectroscopy in p[bar p]-annihilations are presented. The main emphasis is on all-neutral annihilations, the study of the strange quark content of the proton, and the investigation of the decay mode of il particles. A 2[sup ++] resonance decaying into [pi][degrees][pi][degrees]at a mass of 1515 [plus minus] 10 MeV with a width of 120 [plus minus] 10 MeV has been seen in a 3[pi][degrees] final state.

The Crystal Barrel experiment has been constructed and installed at the Low Energy Antiproton Ring (LEAR) at CERN. It has been fully operational since late 1989. In this talk, recent results of meson spectroscopy in p{bar p}-annihilations are presented. The main emphasis is on all-neutral annihilations, the study of the strange quark content of the proton, and the investigation of the decay mode of il particles. A 2{sup ++} resonance decaying into {pi}{degrees}{pi}{degrees}at a mass of 1515 {plus_minus} 10 MeV with a width of 120 {plus_minus} 10 MeV has been seen in a 3{pi}{degrees} final state.

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

More than $5 Million to Support Wind Energy More than $5 Million to Support Wind Energy Development DOE Announces More than $5 Million to Support Wind Energy Development September 13, 2010 - 12:00am Addthis Washington, DC - U.S. Energy Secretary Steven Chu announced today that the Department of Energy is awarding more than $5 million to support U.S. wind energy development. Two projects receiving a total of $3.4 million over two years will improve short-term wind forecasting, which will accelerate the use of wind power in electricity transmission networks by allowing utilities and grid operators to more accurately forecast when and where electricity will be generated from wind power. Three additional projects are receiving a total of more than $1.8 million to boost the speed and scale of midsize wind turbine technology development and deployment.

Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day October 20, 2010 - 1:06pm Addthis Dr. Richard Newell Dr. Richard Newell Does the American League hold more baseball World Series titles than the National League? Yes. Does Saudi Arabia produce more crude oil than Russia? No. How do I know? Statistics. The month of October not only marks the beginning of Major League Baseball's World Series and Energy Awareness Month, but also the celebration of the first ever World Statistics Day on October 20th. Statistics don't just help us answer trivia questions - they also help us make intelligent decisions. If I heat my home with natural gas, I'm probably interested in what natural gas prices are likely to be this winter. If my business manufactures solar panels, I would want to know how

The occurrence of fog can significantly impact air transport operations, and plays an important role in aviation safety. The economic value of aviation forecasts for Sydney Airport alone in 1993 was estimated at $6.8 million (Australian dollars) ...

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

diesel fuel price forecast to be 1 penny lower this summer diesel fuel price forecast to be 1 penny lower this summer at $3.94 a gallon The retail price of diesel fuel is expected to average $3.94 a gallon during the summer driving season that which runs from April through September. That's close to last summer's pump price of $3.95, according to the latest monthly energy outlook from the U.S. Energy Information Administration. Demand for distillate fuel, which includes diesel fuel, is expected to be up less than 1 percent from last summer. Daily production of distillate fuel at U.S. refineries is forecast to be 70,000 barrels higher this summer. With domestic distillate output exceeding demand, U.S. net exports of distillate fuel are expected to average 830,000 barrels per day this summer. That's down 12 percent from last summer's

projects are valued at approximately $67 million (including $15 million projects are valued at approximately $67 million (including $15 million in non-Federal cost sharing) over four years. The overall goal of the research is to develop carbon dioxide (CO 2 ) capture and separation technologies that can achieve at least 90 percent CO 2 removal at no more than a 35 percent increase in the cost of electricity. The projects, managed by FE's National Energy Technology Laboratory (NETL), include: (1) Linde, LLC, which will use a post-combustion capture technology incorporating BASF's novel amine-based process at a 1-megawatt electric (MWe) equivalent slipstream pilot plant at the National Carbon Capture Center (NCCC) (DOE contribution: $15 million); (2) Neumann Systems Group, Inc., which will design, construct, and test a patented NeuStreamTM absorber at the Colorado

Sample records for forecasts million barrels from the National Library of Energy Beta (NLEBeta)

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This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

the laundry, or rinsing your hair like some of our grandmothers may have done. 3. To maintain the tight the barrel by the spigot. To maintain the tight connection, open the barrel and tighten the nut on the inside will not harm plants and will actually help the soil soak up the water. B. Adding a few drops of Olive Oil

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. Minh Le Minh Le Program Manager, Solar Program What Do These Projects Do? The Energy Department is investing $8 million in two cutting-edge projects to increase the accuracy of solar forecasting at sub-hourly,

In Einstein's general relativity theory the metric component gxx in the direction of motion (x-direction) of the sun deviates from unity due to a tensor potential caused by the black hole existing around the center of the galaxy. Because the solar system is orbiting around the galactic center at 200 km/s, the theory shows that the Newtonian gravitational potential due to the sun is not quite radial. At the present time, the ecliptic plane is almost perpendicular to the galactic plane, consistent with this modification of the Newtonian gravitational force. The ecliptic plane is assumed to maintain this orientation in the galactic space as it orbits around the galactic center, but the rotational angular momentum of the earth around its own axis can be assumed to be conserved. The earth is between the sun and the galactic center at the summer solstice all the time. As a consequence, the rotational axis of the earth would be parallel to the axis of the orbital rotation of the earth 15 million years ago, if the solar system has been orbiting around the galactic center at 200 km/s. The present theory concludes that the earth did not have seasons 15 million years ago. Therefore, the water on the earth was accumulated near the poles as ice and the sea level was very low. Geological evidence exists that confirms this effect. The resulting global ice-melting started 15 million years ago and is ending now.

0 0 Highlights International Oil Markets International Oil Supply: This forecast assumes that OPEC 10 (Organization of Petroleum Exporting Countries excluding Iraq) crude oil production will be 25.2 millionbarrels per day in the second quarter, 0.9 millionbarrels per day above first quarter production levels (Figure 1). This is about 0.5 millionbarrels per day above their production target of 24.69 millionbarrels per day. The forecast then assumes another 0.1 millionbarrels per day increase in OPEC 10 crude oil production in the third quarter and an additional 0.5 millionbarrel per day increase in the fourth quarter of 2000. If OPEC fails to increase production in the third or fourth quarters of 2000 as assumed in this forecast, higher oil prices would be expected.

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at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity September 14, 2010 - 10:52am Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? With better forecasting, utilities can more reliably connect variable power sources such as wind energy with electricity grids, and can decrease their need for back-up energy sources such as natural gas and hydropower. Last week's Geek-Up talked about the Energy Department's Wind for Schools program and how it is helping schools use wind turbines to power their classrooms. Yesterday, U.S. Energy Secretary Steven Chu announced more than $5 million in funding to help bring wind-generated power to not only more

by Esmeralda SĂˇnchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

The thermal performance of fenestration in commercial buildings can have a significant effect on building loads--yet there is little information on the performance of these products. With this in mind, ASHRAE TC 4.5, Fenestration, commissioned a research project involving test and simulation of commercial fenestration systems. The objectives of ASHRAE Research Project 877 were: to evaluate the thermal performance (U-factors) of commonly used commercial glazed roof and wall assemblies; to obtain a better fundamental understanding of the heat transfer processes that occur in these specialty fenestration products; to develop correlations for natural-convection heat transfer in complex glazing cavities; to develop a methodology for evaluating complex fenestration products, suitable for inclusion in ASHRAE Standard 142P (ASHRAE 1996); and to generate U-factors for common commercial fenestration products, suitable for inclusion in the ASHRAE Handbook--Fundamentals. This paper describes testing and simulation of pyramid and barrel vault skylight specimens and provides guidelines for modeling these systems based on the validated results.

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

to Sell 35,000 Barrels of Oil from the Northeast Home Heating to Sell 35,000 Barrels of Oil from the Northeast Home Heating Oil Reserve DOE to Sell 35,000 Barrels of Oil from the Northeast Home Heating Oil Reserve May 24, 2007 - 4:16pm Addthis WASHINGTON, DC - The U.S. Department of Energy announced today that it will sell approximately 35,000 barrels of home heating oil from the Northeast Home Heating Oil Reserve (NEHHOR). The Reserve's current 5-year storage contracts expire on September 30, 2007 and market conditions have caused new storage costs to rise to a level that exceeds available funds. Revenue from the sale will be used to supplement funds for the award of new long-term storage contracts that will begin on October 1, 2007. The Department will work with Congress to resolve these funding issues in order

Sell 35,000 Barrels of Oil from the Northeast Home Heating Sell 35,000 Barrels of Oil from the Northeast Home Heating Oil Reserve DOE to Sell 35,000 Barrels of Oil from the Northeast Home Heating Oil Reserve May 24, 2007 - 4:16pm Addthis WASHINGTON, DC - The U.S. Department of Energy announced today that it will sell approximately 35,000 barrels of home heating oil from the Northeast Home Heating Oil Reserve (NEHHOR). The Reserve's current 5-year storage contracts expire on September 30, 2007 and market conditions have caused new storage costs to rise to a level that exceeds available funds. Revenue from the sale will be used to supplement funds for the award of new long-term storage contracts that will begin on October 1, 2007. The Department will work with Congress to resolve these funding issues in order to restore the inventory of the Reserve to its full authorized size.

A compact 12-barrel deuterium pellet injector for plasma studies in the C-2 field-reversed configuration device (USA) is described. As in other multibarrel injectors, pellets are simultaneously formed inside s...

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

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Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

Historic Milestone Achieved as 1 Million Gallons of Grout Historic Milestone Achieved as 1 Million Gallons of Grout Is Poured into SRS Waste Tanks 18 and 19 AIKEN, S.C. (May 9, 2012) - Operational closure of the next two radioactive waste tanks at the Savannah River Site (SRS) has achieved a historic milestone with the placement of over 1 million gallons of grout inside the massive underground tanks. Filling Tanks 18 and 19 began on April 2, 2012. As of today, over 1 million gallons of

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

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This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

A Million Meter Milestone A Million Meter Milestone A Million Meter Milestone March 4, 2011 - 2:36pm Addthis To see what installing the 1 millionth meter looked like, check out this video. Don Macdonald Program Manager, Smart Grid Investment Grant Program What does this mean for me? Smart meters allow consumers to take personal control and ownership of her energy usage in a way not possible before. As program manager for the Department of Energy's Recovery Act funded Smart Grid Investment Grant (SGIG) program, I've had the pleasure of seeing SGIG reach several important milestones recently. Among the most notable has been the recent achievement of three million smart meters installed by SGIG recipients as of December 31, 2010. On February 23, 2011, along with my colleague Chris Irwin, I was in Houston, Texas where SGIG

of several million tonnes of carbon dioxide (CO of several million tonnes of carbon dioxide (CO 2 ). The three recipients of the award are: the In Salah CO 2 Storage Project in Algeria; the Sleipner CO 2 Project in the North Sea; and the Weyburn-Midale CO 2 Project in Canada. In addition to providing scientific research opportunities, the projects are also being recognized as exemplary global models for their willingness to share their experiences in

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

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This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Sample records for forecasts million barrels from the National Library of Energy Beta (NLEBeta)

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World ethylene production capacity is 77.8 million metric tons/year (mty). This total represents an increase of more than 6 million mty, or almost 9%, over last year`s survey. The biggest reason for the large change is more information about plants in the CIS. Also responsible for the increase in capacity is the start-up of several large ethylene plants during the past year. The paper discusses construction of ethylene plants, feedstocks, prices, new capacity, price outlook, and problems in Europe`s ethylene market.

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

explanatory variables. Compared to Stock and Watson (2002)Ă˘Â?Â?s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Requested Amount: $7 million annually PROGRAM DESCRIPTION Goals are to increase the level of fire protection to the citizens of Texas and to decrease the level of losses (in lives and property) from wildfires, thereby enhancing the quality of life for Texans. The Texas Wildfire Protection Plan (TWPP

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Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

5 5 Notes: When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year. - Stocks are beginning at very low levels. The September 1 distillate fuel stock level (112 millionbarrels) is nearly 20% less than last year, and about 15% below the 10 year average for end of August levels. - But stocks on the East Coast, at 39.8 millionbarrels, are 39% behind year-ago levels, and about a similar percentage below end-of-August 10-year average levels. Over the last 10 years, the average stock build from the end of August through the end of November has been about 10 millionbarrels. We are forecasting about a 12 millionbarrel build, which does not reach the normal band. Forecast stocks peak at the end of November at 127 million

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9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" 9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD" "Fuels Used and End Uses",,,,"IL","MI","WI",,,"MO",,"KS, NE" "Total Homes",113.6,25.9,17.9,4.8,3.8,2.3,7,8.1,2.3,3.9,1.8 "Fuels Used for Any Use" "Electricity",113.6,25.9,17.9,4.8,3.8,2.3,7,8.1,2.3,3.9,1.8

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4 Air Conditioning in U.S. Homes, by Number of Household Members, 2009" 4 Air Conditioning in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Air Conditioning",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Air Conditioning Equipment" "Use Air Conditioning Equipment",94,24.6,30.2,15.1,13.5,10.6 "Have Air Conditioning Equipment But" "Do Not Use It",4.9,1.7,1.5,0.7,0.6,0.5 "Do Not Have Air Conditioning Equipment",14.7,5,4.1,2.3,1.7,1.7 "Type of Air Conditioning Equipment "

3 Appliances in U.S. Homes, by Year of Construction, 2009" 3 Appliances in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Appliances" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)" "Use a Stove",102.3,13.2,4.9,12.3,11.2,16.5,15.6,14.9,13.7 "1.",100.8,13,4.8,12.2,10.9,16.3,15.4,14.7,13.5 "2 or More",1.5,0.2,0.1,0.2,0.2,0.2,0.2,0.1,0.2

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2 Fuels Used and End Uses in U.S. Homes, by Owner/Renter Status, 2009" 2 Fuels Used and End Uses in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Fuels Used and End Uses",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4 "Fuels Used for Any Use"

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

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A twenty barrel hydrogen pellet injector has been designed, built and tested both in the laboratory and on the Alcator C-Mod Tokamak at MIT. The injector functions by firing pellets of frozen hydrogen or deuterium deep into the plasma discharge for the purpose of fueling the plasma, modifying the density profile and increasing the global energy confinement time. The design goals of the injector are: (1) Operational flexibility, (2) High reliability, (3) Remote operation with minimal maintenance. These requirements have lead to a single stage, pipe gun design with twenty barrels. Pellets are formed by in- situ condensation of the fuel gas, thus avoiding moving parts at cryogenic temperatures. The injector is the first to dispense with the need for cryogenic fluids and instead uses a closed cycle refrigerator to cool the thermal system components. The twenty barrels of the injector produce pellets of four different size groups and allow for a high degree of flexibility in fueling experiments. Operation of the injector is under PLC control allowing for remote operation, interlocked safety features and automated pellet manufacturing. The injector has been extrusively tested and shown to produce pellets reliably with velocities up to 1400 m/sec. During the period from September to November of 1993, the injector was successfully used to fire pellets into over fifty plasma discharges. Experimental results include data on the pellet penetration into the plasma using an advanced pellet tracking diagnostic with improved time and spatial response. Data from the tracker indicates pellet penetrations were between 30 and 86 percent of the plasma minor radius.

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides Â“business as usualÂ” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEAÂ’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last yearÂ’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

3 Televisions in U.S. Homes, by Year of Construction, 2009" 3 Televisions in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Televisions" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Televisions" "Number of Televisions" 0,1.5,0.4,"Q",0.2,0.1,0.3,0.2,0.1,0.1 1,24.2,4.2,1.2,3.1,3,3.8,3.7,2.9,2.3 2,37.5,4.7,1.9,4.3,4.5,6.4,6.2,5,4.4 3,26.6,2.9,1,3.1,3,4.4,3.7,4.1,4.4 4,14.2,1.4,0.5,1.6,1.7,2.1,1.9,2.3,2.7 "5 or More",9.7,0.9,0.4,1.2,1,1.3,1.3,1.9,1.7

4 Fuels Used and End Uses in U.S. Homes, by Number of Household Members, 2009" 4 Fuels Used and End Uses in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Fuels Used and End Uses",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Fuels Used for Any Use" "Electricity",113.6,31.3,35.8,18.1,15.7,12.7 "Natural Gas",69.2,18,21.6,11.5,9.8,8.2 "Propane/LPG",48.9,8.3,17.6,8.4,8.3,6.3 "Wood",13.1,2.3,4.8,2.3,2,1.7 "Fuel Oil",7.7,2.2,2.4,1.1,1.1,0.9 "Kerosene",1.7,0.4,0.5,0.3,0.2,0.3

3 Air Conditioning in U.S. Homes, by Year of Construction, 2009" 3 Air Conditioning in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Air Conditioning" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Air Conditioning Equipment" "Use Air Conditioning Equipment",94,10.5,4,10.6,10.5,15.1,14.1,14.7,14.4 "Have Air Conditioning Equipment But" "Do Not Use It",4.9,0.9,0.2,0.8,0.6,0.8,0.9,0.3,0.4 "Do Not Have Air Conditioning Equipment",14.7,3,0.9,2.2,2.2,2.4,2,1.3,0.8

3 Water Heating in U.S. Homes, by Year of Construction, 2009" 3 Water Heating in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Water Heating" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Number of Storage Tank Water Heaters" 0,2.9,0.5,0.2,0.3,0.3,0.5,0.3,0.3,0.5 1,108.1,13.7,4.9,13,12.8,17.5,16.3,15.6,14.4 "2 or More",2.7,0.3,"Q",0.3,0.2,0.3,0.4,0.5,0.6 "Number of Tankless Water Heaters2" 0,110.4,14,5,13.2,13,17.9,16.6,16,14.9

7 Fuels Used and End Uses in U.S. Homes, by Census Region, 2009" 7 Fuels Used and End Uses in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Fuels Used and End Uses" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Fuels Used for Any Use" "Electricity",113.6,20.8,25.9,42.1,24.8 "Natural Gas",69.2,13.8,19.4,17.7,18.3 "Propane/LPG",48.9,9.4,12.1,16.5,11 "Wood",13.1,2.5,2.9,4,3.7 "Fuel Oil",7.7,6.3,0.5,0.7,0.2 "Kerosene",1.7,0.5,0.4,0.6,0.2 "Solar",1.2,0.2,0.2,0.3,0.5 "Electricity End Uses2" "(more than one may apply)"

3 Fuels Used and End Uses in U.S. Homes, by Year of Construction, 2009" 3 Fuels Used and End Uses in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Fuels Used and End Uses" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Fuels Used for Any Use" "Electricity",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Natural Gas",69.2,10.9,3.8,10,9.1,10.1,8.2,8.6,8.4 "Propane/LPG",48.9,5.9,1.9,5.7,4.9,7.6,6.9,8.1,7.9 "Wood",13.1,1.4,0.5,1.5,1.5,2.5,2.7,1.9,1.1

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3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" 3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Census Region and Division" "Northeast",20.8,5.6,1.3,3.4,2.6,2.6,2.2,1.5,1.6 "New England",5.5,1.8,0.3,0.7,0.6,0.7,0.8,0.3,0.4 "Middle Atlantic",15.3,3.8,1.1,2.7,2,1.9,1.4,1.1,1.2

5 Computers and Other Electronics in U.S. Homes, by Household Income, 2009" 5 Computers and Other Electronics in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Computers and Other Electronics" "Total Homes",113.6,23.7,27.5,21.2,14.2,9.3,5.7,12,16.9 "Computers" "Number of Computers" 0,27.4,12.4,9,3.6,1.5,0.4,0.1,0.3,8.4 1,46.9,8.2,13,10.6,6.7,3.7,1.8,2.8,5.8 2,24.3,2.2,4.1,4.6,3.7,2.9,2.2,4.6,1.8 3,9.5,0.6,1,1.6,1.5,1.6,1,2.3,0.5

3 Computers and Other Electronics in U.S. Homes, by Year of Construction, 2009" 3 Computers and Other Electronics in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Computers and Other Electronics" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Computers" "Number of Computers" 0,27.4,3.8,1.7,3.8,3.9,4.6,4.4,3.1,2.1 1,46.9,6,2.1,5.3,5.4,7.8,7,6.5,6.7 2,24.3,3,0.9,2.8,2.5,3.7,3.3,4.1,4 3,9.5,1.1,0.3,1.1,1,1.4,1.4,1.7,1.6 4,3.6,0.4,0.1,0.4,0.3,0.6,0.5,0.6,0.8

6 Fuels Used and End Uses in U.S. Homes, by Climate Region, 2009" 6 Fuels Used and End Uses in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Fuels Used and End Uses",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Fuels Used for Any Use" "Electricity",113.6,38.8,35.4,14.1,19.1,6.3 "Natural Gas",69.2,27.4,19.8,11.3,6.7,4 "Propane/LPG",48.9,19.6,14.6,5.5,6.8,2.5 "Wood",13.1,5,4,1.5,1.4,1.2 "Fuel Oil",7.7,4.6,2.9,"Q","Q","Q" "Kerosene",1.7,0.8,0.7,0.1,"Q","Q"

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Optimal combined wind power forecasts using exogeneous variables Fannar Â¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

A new pellet injection system for the TJ-II stellarator has been developed/constructed as part of a collaboration between the Oak Ridge National Laboratory (ORNL) and the Centro de Investigaciones Energ ticas, Medioambientales y Tecnol gicas (CIEMAT). ORNL is providing most of the injector hardware and instrumentation, the pellet diagnostics, and the pellet transport tubes; CIEMAT is responsible for the injector stand/interface to the stellarator, cryogenic refrigerator, vacuum pumps/ballast volumes, gas manifolds, remote operations, plasma diagnostics, and data acquisition. The pellet injector design is an upgraded version of that used for the ORNL injector installed on the Madison Symmetric Torus (MST). It is a four-barrel system equipped with a cryogenic refrigerator for in situ hydrogen pellet formation and a combined mechanical punch/propellant valve system for pellet acceleration (speeds ~100 to 1000 m/s). On TJ-II, it will be used as an active diagnostic and for fueling. To accommodate the plasma experiments planned for TJ-II, pellet sizes significantly smaller than those typically used for the MST application are required. The system will initially be equipped with four different pellet sizes, with the gun barrel bores ranging between ~0.5 to 1.0 mm. The new system is almost complete and is described briefly here, highlighting the new features added since the original MST injector was constructed. Also, the future installation on TJ-II is reviewed.

The large ATLAS toroidal superconducting magnet made of the Barrel and two End-Caps needs extensive testing at the surface of the individual components prior to their final assembly into the underground cavern of LHC. A cryogenic test facility specifically designed for cooling sequentially the eight coils making the Barrel Toroid (BT) has been fully commissioned and is now ready for final acceptance of these magnets. This facility, originally designed for testing individually the 46 tons BT coils, will be upgraded to allow the acceptance tests of the two End-Caps, each of them having a 160 tons cold mass. The integrated system mainly comprises a 1.2 kW at 4.5 K refrigerator, a 10 kW liquid-nitrogen precooler, two cryostats housing liquid helium centrifugal pumps of respectively 80 g/s and 600 g/s nominal flow and specific instrumentation to measure the thermal performances of the magnets. This paper describes the overall facility with particular emphasis to the cryogenic features adopted to match the specific requirements of the magnets in the various operating scenarios.

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.

Sample records for forecasts million barrels from the National Library of Energy Beta (NLEBeta)

Note: This page contains sample records for the topic "forecasts million barrels" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.

Sample records for forecasts million barrels from the National Library of Energy Beta (NLEBeta)

Note: This page contains sample records for the topic "forecasts million barrels" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.

Sample records for forecasts million barrels from the National Library of Energy Beta (NLEBeta)

Note: This page contains sample records for the topic "forecasts million barrels" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.